PROBABLY APPROXIMATELY CORRECT CONSTRAINED LEARNING

von Chamon, Luiz
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 20 of 27 (2021)

Graphon Neural Networks and the Transferability of Graph Neural Networks

von Ruiz, Luana
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 3 of 27 (2021)

Probabilistically Robust Learning: Balancing Average and Worst-Case Performance

von Robey, Alexander
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 23 of 33 (2023)

CONSTRAINED REINFORCEMENT LEARNING HAS ZERO DUALITY GAP

von Paternain, Santiago
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 10 of 20 (2020)

Adversarial Robustness with Semi-Infinite Constrained Learning

von Robey, Alexander
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)